1vxcontrol / pentagi
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
Ranked by Attention Score: stars gained over the last 7 complete days
18 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
Connect your company's data, let an agent draft an ontology over it, and load it into HelixDB as one graph you can explore and ask questions of. Hosted at foundry.helix-db.com, or run it on your own machine.
Beta. Self-hosted panel for running a VPN for others: family, friends, a community or a small team. Hysteria2, VLESS REALITY and AmneziaWG, one link per person. Add servers from the browser over SSH; client-eye health checks and Telegram alerts; MCP for AI agents. Two static Go binaries, SQLite, no Docker.
Android automation from code. Test your apps on real phones, script the tasks you repeat, run a shelf of phones, or let an AI agent use one, from Python, Node.js, the CLI, HTTP or Appium clients. No ADB, no USB cable, no root.
Open source AI coding agent. Designed for large projects and real world tasks.
Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.
Dolt – Git for Data
Open-source AI alternative to Buffer and Opus Clip: Claude Code makes on-brand videos, posts them to 9 platforms and drafts replies. Self-hosted, your own keys.
Git designed for AI agents.
Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code
Go AI SDK, the Go way. One unified API across 21+ providers. Streaming, structured output, MCP support, stdlib only. Go AI SDK for AI applications inspired by Vercel AI SDK.
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
SaaS boilerplate/starter-kit in Go+React with Stripe integration, multi-tenant support, comprehensive features and AI-agent ready
Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
Keep your secrets out of your AI coding agents. A local HTTPS proxy that swaps real credentials with placeholders and injects them at the network boundary.